Inductive Logic Programming

Learning the Parameters of Probabilistic Answer Set Programs.- Navigable atom-rule interactions in PSL models enhanced by rule verbalizations, with an application to etymological inference.- A Program-Synthesis Challenge for ARC-like Tasks.- Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust.- Learning Automata-Based Complex Event Patterns in Answer Set Programming.- Learning Hierarchical Problem Networks for Knowledge-Based Planning.- Combining word embeddings-based similarity measures for transfer learning across relational domains.- Learning Assumption-based Argumentation Frameworks.- Diagnosis of Event Sequences with LFIT.- Efficient Abductive Learning of Microbial Interactions using Meta Inverse Entailment.- Functional Lifted Bayesian Networks: Statistical Relational Learning and Reasoning with Relative Frequencies.